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PerfectScale Reviews

Vendor: PerfectScale
4.7 out of 5

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PerfectScale mindshare

As of June 2026, the mindshare of PerfectScale in the Cloud Cost Management category stands at 1.4%, up from 0.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Cloud Cost Management Mindshare Distribution
ProductMindshare (%)
PerfectScale1.4%
IBM Turbonomic5.9%
Cloudability5.4%
Other87.3%
Cloud Cost Management
 
 
Key learnings from peers
Last updated Mar 27, 2026

Valuable Features

Room for Improvement

Top industries

By visitors reading reviews
Insurance Company
32%
Construction Company
27%
Healthcare Company
7%
Comms Service Provider
6%
Outsourcing Company
5%
Financial Services Firm
4%
Transportation Company
4%
University
3%
Manufacturing Company
3%
Religious Institution
3%
Educational Organization
2%
Computer Software Company
2%
Consumer Goods Company
1%
Government
1%
Newspaper
1%
Retailer
1%
Real Estate/Law Firm
1%

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PerfectScale Reviews Summary
Author infoRatingReview Summary
DevOps & FinOps Engineer at a tech vendor with 501-1,000 employees4.0I've used PerfectScale for 1.5 years to optimize Kubernetes clusters, reduce costs, and improve resource management, though it could benefit from real-time scaling and better graph visualizations. Support has been helpful and responsive.
Sr Cloud engineer at a consultancy with 11-50 employees5.0I used PerfectScale to gain Kubernetes cost savings by optimizing resource allocation and getting workload insights. While initial support had issues, I found it much easier than Prometheus and recommend trying it for automated resource optimization.
Technical Product Manager at a tech vendor with 201-500 employees5.0I've used PerfectScale for under a year to optimize Kubernetes, and it quickly reduced cloud costs and improved performance. It's easy to use, offers great insights, and I especially value its automated resource adjustments across clusters.
reviewer2750058 - PeerSpot reviewer
reviewer2750058
DevOps & FinOps Engineer at a tech vendor with 501-1,000 employees
Aug 14, 2025
Gain visibility into Kubernetes clusters and optimize resource allocation based on historical data
reviewer2749209 - PeerSpot reviewer
reviewer2749209
Sr Cloud engineer at a consultancy with 11-50 employees
Aug 11, 2025
Automated resource optimization leads to cost savings while documentation errors are addressed
reviewer2774151 - PeerSpot reviewer
reviewer2774151
Technical Product Manager at a tech vendor with 201-500 employees
Oct 31, 2025
Has reduced resource waste and improved cluster performance through automation